Zhenyang Zhang

As China’s digital regulatory framework continues to evolve, understanding what drives software developers’ data compliance behavior becomes increasingly important. Drawing on deterrence theory from a behavioral, law-in-action perspective, this study examines how data legal awareness influences data compliance behavior through perceived sanction certainty and perceived sanction severity, and how perceived compliance culture moderates these mediating pathways. Survey data collected from software developers were analyzed using structural equation modelling. The results indicate that data legal awareness promotes data compliance behavior directly and indirectly through perceived sanction certainty and perceived sanction severity, with certainty exerting a stronger mediating effect than severity. Perceived compliance culture significantly strengthens the effect of data legal awareness on perceived sanction certainty, while its moderating effect on perceived sanction severity receives only limited support. Theoretically, these findings extend deterrence theory to the data compliance domain by specifying the cognition–perception–behavior pathway and identifying the moderating role of compliance culture. Practically, the findings offer implications for how regulatory authorities allocate enforcement resources and how organizations design compliance management systems.

This study explores the challenges and theoretical transformations that the widespread application of AI technology in social governance brings to the protection of citizens’ fundamental rights. By examining typical cases in judicial assistance, technology-enabled law enforcement, and welfare supervision, it explains how AI characteristics such as algorithmic opacity, data bias, and automated decision-making affect fundamental rights including due process, equal protection, and privacy. The article traces the historical evolution of privacy theory from physical space protection to informational self-determination and further to modern data rights, pointing out the inadequacy of traditional rights-protection paradigms in addressing the characteristics of AI technology. Through analyzing AI-governance models in the European Union, the United States, Northeast Asia, and international organizations, it demonstrates diverse governance approaches ranging from systematic risk regulation to decentralized industry regulation. With a special focus on China, the article analyzes the special challenges faced in AI governance and proposes specific recommendations for improving AI-governance paths. The article argues that only within the track of the rule of law, through continuous theoretical innovation, institutional construction, and international cooperation, can AI technology development be ensured to serve human dignity, freedom, and fair justice.

Business model innovation represents a critical pathway for firms to create value and enhance competitiveness, yet innovation processes are frequently constrained by resource limitations. To explore the determinants of business model innovation, we developed a theoretical framework examining the influence mechanism of resource bricolage on business model innovation, introducing digital transformation as a mediating variable and entrepreneurship as a moderating variable. We conducted an empirical study by surveying 263 entrepreneurs across China. Using Model 59 in the PROCESS macro for SPSS, we performed conditional process analysis, revealing that both resource bricolage and digital transformation positively influence business model innovation, and resource bricolage facilitates digital transformation. Furthermore, digital transformation partially mediates the relationship between resource bricolage and business model innovation, while entrepreneurship positively moderates the relationships among resource bricolage, digital transformation, and business model innovation, with higher levels of entrepreneurship demonstrating stronger moderating effects. Our findings suggest that organizations pursuing business model innovation must consider the integrated effects of multiple factors within a systems perspective.

The increasing focus on environmental, social, and corporate governance (ESG) has led to a growing interest in how firms’ internal behaviors affect their contributions in promoting sustainable economic development and fulfilling social responsibility. While previous studies have often explored the impact of internal controls on corporate investment decisions, little attention has been paid to the impact of internal controls on corporate green innovation. To this end, we explored the relationship between internal control, environmental investment, and green innovation using data from 2014–2019 for A-share listed companies in Shanghai and Shenzhen, China. The regression results show that there is a significant positive relationship between internal control and corporate green innovation. The improvement of internal control has a significant positive impact on firms’ active adoption of environmental protection investment. Environmental investment plays a partially mediating role in the process of internal control’s influence on green innovation. This implies that the effect of internal control on green innovation further affects green innovation through the indirect effect of environmental investment, in addition to the direct effect. Moreover, through further research, we find that the above influence relationship is significantly present in both heavily polluting and non-heavily polluting enterprises, as well as in state-owned and private enterprises, but is more significant in heavily polluting firms and private firms. Finally, this study responds to the debate on whether internal controls inhibit or promote enterprise innovation. We advocate further research on this issue in the future in terms of the differences in the accountability systems and customs of firms’ decision-making in different countries.

There is no doubt that the primary reason that firms encourage knowledge sharing is to drive innovation. As nutrients for innovation, what role do the different elements of intellectual capital play in this relationship? When we consider the ambidexterity of enterprise innovation—exploratory and exploitative—how do the different elements of intellectual capital affect the relationship between them? This study adopts a triadic perspective to divide intellectual capital into human, structural and relational capital. We analyzed 349 questionnaires from high-tech enterprises and found that knowledge sharing had a significantly positive effect on all three elements of intellectual capital, and human capital and structural capital had a positive effect on ambidextrous innovation. Relational capital had a positive effect on exploitative innovation but no significant effect on exploratory innovation. Unexpectedly, there was no direct effect of knowledge sharing on ambidextrous innovation, and the elements of intellectual capital play full mediations among them. This may suggest that firms should pay more attention to the role of relational capital when they adopt exploitative innovation. At the same time, we remind managers that innovation may be promoted only when knowledge sharing increases intellectual capital. Therefore, the misuse of management tools should be avoided, and ineffective management practices should be reduced. In addition, we explored the relationship between knowledge sharing and the open innovation paradigm and made some suggestions for future research.

The new wave of interest in mobile workplaces is profoundly changing the internal ecology of Chinese companies and creating new stress for employees. To investigate the mechanisms of mobile workplace stress on employee innovative behavior and the role of work–family conflict and employee engagement, we collected 426 valid samples from married male employees in the software and information service industries. The results show that mobile workplace stress has a significant negative effect on employee innovative behavior. In contrast, it has a significant positive effect on work–family conflict and employee engagement. In addition, work–family conflict partially mediates the relationship between mobile workplace stress and employee innovative behavior; employee engagement produces the suppressing effects. The chain intermediary effect of work–family conflict and employee engagement between the mobile workplace and employee innovative behavior is present. When we focus on the high performance of the mobile workplace, we should also pay attention to its impact on the company’s ability for innovation.

Although the relationship between workplace fun and employee performance is well-documented, research on the link between workplace fun and voice behavior is still in a nascent stage. Integrating workplace fun, leader–member exchange (LMX), and voice behavior theories, in the current research we examined LMX as a mediator of the link between workplace fun and voice behavior. We conducted a crosssectional survey with a sample of 307 subordinates and 82 supervisors employed by eight Chinese companies, and used structural equation modeling to analyze the data. Results show that workplace fun was related both directly and indirectly (via LMX) to employees' voice behavior. Our findings offer insight into the mechanistic processes through which workplace fun affects employees' voice behavior, and suggest that to promote employees' voice behavior, a fun work environment and high-quality LMX relationship should be established in organizations.

The study explores the relationship between internal control effectiveness, corporate social responsibility (CSR), and technological innovation. By establishing a mediating effect model, we analyzed the effect of internal control effectiveness on technological innovation. The study selected the data of Chinese A-share listed companies between 2014 and 2019 as the sample. The sources of variable indicators include China Stock Market and Accounting Research (CSMAR), DIB Internal Control database, and Hexun CSR score. The empirical study shows that internal control effectiveness is significantly and positively related to technological innovation. Enhancing internal control effectiveness has a significant positive effect on the fulfillment of corporate social responsibility. In the process of internal control effectiveness on technological innovation, corporate social responsibility functions as a mediating variable and plays a partial mediating role. The study provides empirical data to support listed companies’ emphasis on internal control and active fulfillment of social responsibility, thereby enhancing their technological innovation performance.